Why This Conference?
As AI tools reshape how students learn, it’s time for instructors to lead the way in how these technologies are used to teach. This conference is designed by and for STEM educators, with a focus on practical, hands-on strategies for integrating AI into teaching practice.
Core Themes:
- Designing AI-powered problem banks for physics, chemistry, and math
- Leveraging AI for personalized learning and feedback
- Maintaining academic integrity in the age of generative AI
- Creating inclusive and equitable AI learning environments
- Exploring future-ready pedagogy through AI-enhanced curriculum design
đź› What You’ll Learn (Outcomes)
By attending, participants will:
- Understand how AI can generate isomorphic and adaptive problems for concept mastery
- Learn best practices for using tools like ChatGPT, WolframAlpha, and AI tutors in the classroom
- Develop simple prompts to scaffold AI-generated assessments
- Explore real faculty examples and student perspectives on AI use
- Leave with a starter bank of curated, editable AI-generated questions in your field
👨‍🏫 Who Should Attend
This event is ideal for:
- College & university professors in physics, chemistry, math, and engineering
- Curriculum designers and academic support staff
- Instructional technologists and learning designers
- Department chairs and assessment coordinators exploring scalable AI solutions
🧩 Featured Sessions (Teasers)
- Panel: “AI in the Student Mind: Friends, Fears, and Feedback”
→ Real student voices from STEM share how they use AI - Workshop: “Prompt Engineering for Problem Creation”
→ Learn how to guide AI to build accurate, aligned problems - Case Study: “Building AI-Assisted Test Banks for Calculus & Chemistry”
→ Faculty share successes and roadblocks - Hands-On Lab: “From Prompt to Practice Problem”
→ Live session using ChatGPT and other AI tools for instructional design - AI Project Studio: Independent Work on Your Teaching or Assessment Tool